code: def _remove_prefixes(self, aliases):
      # Optimization: Remove any alias that has a strict prefix elsewhere in the list
      # we can do this because if the prefix is acceptable by isgreedy, we can stop looking
      aliases.sort()
      ret = [aliases[0]]
      for alias in aliases[1:]:
          if not alias.startswith(ret[-1]):
              ret.append(alias)
  
      return ret
  
file_path: lm-evaluation-harness/lm_eval/tasks/webqs.py
imports: from lm_eval.base import rf, Task
  from lm_eval.metrics import mean
label_desc: Use image node_id 10 for calling the WebQs obj's underlying member method code with example usage: obj._remove_prefixes(aliases) and returns: ret